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例行检查
你的版本
问题描述, 日志截图 看来起embedding的维度不能超过1536,PG Vector的index算法不能超过2000 dimension, 但是通过其他方式进行支持: You can use half-precision indexing to index up to 4,000 dimensions or binary quantization to index up to 64,000 dimensions. Another option is dimensionality reduction.
不知是否有计划在以后的版本支持更高维度的embedding。
复现步骤 使用Ollama上的Qwen:72b模型进行embedding 预期结果
相关截图
The text was updated successfully, but these errors were encountered:
half 模式后续打算增加,不过得看具体情况。可以考虑先用 milvus
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例行检查
你的版本
问题描述, 日志截图
看来起embedding的维度不能超过1536,PG Vector的index算法不能超过2000 dimension, 但是通过其他方式进行支持:
You can use half-precision indexing to index up to 4,000 dimensions or binary quantization to index up to 64,000 dimensions. Another option is dimensionality reduction.
不知是否有计划在以后的版本支持更高维度的embedding。
复现步骤
使用Ollama上的Qwen:72b模型进行embedding
预期结果
相关截图
The text was updated successfully, but these errors were encountered: